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MiniMax released M2.5, and it’s clearly optimized for the agentic era: coding + tool use + research + office workflows in one model. We built a three.js demo of a coastal power and water system, featuring real-time visuals, live simulations, and integrated dashboards in a production-quality web experience. All...

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16,698 просмотров • 3 месяцев назад •via X (Twitter)

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Introducing Cline CLI 2.0: An open-source AI coding agent that runs entirely in your terminal. Parallel agents, headless CI/CD pipelines, ACP support for any editor, and a completely redesigned developer experience. Minimax M2.5 and Kimi K2.5 are free to use for a limited time. From prompt to production. All in your terminal.
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Introducing Cline CLI 2.0: An open-source AI coding agent that runs entirely in your terminal. Parallel agents, headless CI/CD pipelines, ACP support for any editor, and a completely redesigned developer experience. Minimax M2.5 and Kimi K2.5 are free to use for a limited time. From prompt to production. All in your terminal.

Cline

550,786 просмотров • 4 месяцев назад

The MiniMax M2 model is mind-blowing! It's open-source. It outperforms Gemini 2.5, Claude 4.1, and Qwen3 across coding and tool-use benchmarks. Right now, it's one of the world's top 5 models in intelligence! And here is the best part: Claude is one of the best models you can use today, and MiniMax M2 costs only 8% of that! It's smaller, faster, and cheaper. Extremely efficient at using tokens. Minimax M2's biggest strength: High agentic capabilities. The model can plan and execute complex multi-tool workflows. It's reliable and very robust at executing long-horizon tool chains. In summary: • Low latency • Very cheap • Excels at agentic tasks • Open-source The model currently powers the MiniMax Agent and is available for a free global trial. You can access MiniMax M2's API here: To access the agent: And here is the MiniMax website: Thanks to the MiniMax team for showing me the ropes and partnering with me on this post.
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The MiniMax M2 model is mind-blowing! It's open-source. It outperforms Gemini 2.5, Claude 4.1, and Qwen3 across coding and tool-use benchmarks. Right now, it's one of the world's top 5 models in intelligence! And here is the best part: Claude is one of the best models you can use today, and MiniMax M2 costs only 8% of that! It's smaller, faster, and cheaper. Extremely efficient at using tokens. Minimax M2's biggest strength: High agentic capabilities. The model can plan and execute complex multi-tool workflows. It's reliable and very robust at executing long-horizon tool chains. In summary: • Low latency • Very cheap • Excels at agentic tasks • Open-source The model currently powers the MiniMax Agent and is available for a free global trial. You can access MiniMax M2's API here: To access the agent: And here is the MiniMax website: Thanks to the MiniMax team for showing me the ropes and partnering with me on this post.

Santiago

91,142 просмотров • 7 месяцев назад

MiniMax M2.1 is officially live🚀 Built for real-world coding and AI-native organizations — from vibe builds to serious workflows. A SOTA 10B-activated OSS coding & agent model, scoring 72.5% on SWE-multilingual and 88.6% on our newly open-sourced VIBE-bench, exceeding leading closed-source models like Gemini 3 Pro and Claude 4.5 Sonnet. The most powerful OSS model for the agentic era is here.
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MiniMax M2.1 is officially live🚀 Built for real-world coding and AI-native organizations — from vibe builds to serious workflows. A SOTA 10B-activated OSS coding & agent model, scoring 72.5% on SWE-multilingual and 88.6% on our newly open-sourced VIBE-bench, exceeding leading closed-source models like Gemini 3 Pro and Claude 4.5 Sonnet. The most powerful OSS model for the agentic era is here.

MiniMax (official)

1,073,452 просмотров • 6 месяцев назад

We built this demo in collaboration with a clinical pathology lab. It shows a single system doing real lab tasks: tool use, precision manipulation, and high level planning. This was done in one take with no teleop and uses our skills based AI to enable generality while staying deterministic and reliable for real world workflows. See more here:
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We built this demo in collaboration with a clinical pathology lab. It shows a single system doing real lab tasks: tool use, precision manipulation, and high level planning. This was done in one take with no teleop and uses our skills based AI to enable generality while staying deterministic and reliable for real world workflows. See more here:

Kyber Labs

194,420 просмотров • 3 месяцев назад

been working on Harness, a macOS terminal. built it all from the metal up. no libghostty, no tmux, no cmux - all one custom build. It’s a terminal built for speed and agentic workflows.
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been working on Harness, a macOS terminal. built it all from the metal up. no libghostty, no tmux, no cmux - all one custom build. It’s a terminal built for speed and agentic workflows.

Robert Courson

79,363 просмотров • 22 дней назад

Opus 4.6 vs. Minimax M2.5 Prompt: Build an interactive solar system from scratch. Opus 4.6 tried to create a beautiful UI, but the sun’s shadow ruined it. Minimax M2.5 built a simple version that works beautifully. The winner is: 🥇 Minimax M2.5 🥈 Opus 4.6
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Opus 4.6 vs. Minimax M2.5 Prompt: Build an interactive solar system from scratch. Opus 4.6 tried to create a beautiful UI, but the sun’s shadow ruined it. Minimax M2.5 built a simple version that works beautifully. The winner is: 🥇 Minimax M2.5 🥈 Opus 4.6

Okara

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v1 of Harness (a new terminal for macos) is now available! built from the metal up for agentic workflows. think something like ghostty, cmux and tmux - built from from scratch and integrated together.
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v1 of Harness (a new terminal for macos) is now available! built from the metal up for agentic workflows. think something like ghostty, cmux and tmux - built from from scratch and integrated together.

Robert Courson

47,377 просмотров • 21 дней назад

Introducing Omni Engineer 🚀 An AI coding framework built for control and effectiveness. Create and edit multiple files in REAL time Web search via DuckDuckGo Save and resume conversations Image support Use any model you want via OpenRouter Here's a quick demo 👨‍💻
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Introducing Omni Engineer 🚀 An AI coding framework built for control and effectiveness. Create and edit multiple files in REAL time Web search via DuckDuckGo Save and resume conversations Image support Use any model you want via OpenRouter Here's a quick demo 👨‍💻

Pietro Schirano

53,787 просмотров • 1 год назад

Meet — the world’s first vibe coding game agent. 1️⃣ From months of coding in engines → now one prompt builds a full game. 2️⃣ All assets — characters, maps, music, sound effects, animation — are AI-generated and auto-organized. 3️⃣ Built-in ads & map
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Meet — the world’s first vibe coding game agent. 1️⃣ From months of coding in engines → now one prompt builds a full game. 2️⃣ All assets — characters, maps, music, sound effects, animation — are AI-generated and auto-organized. 3️⃣ Built-in ads & map

gambo.ai

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Introducing the new AI first vibe coding experience in Google AI Studio! Built to take you from prompt to production with Gemini, and optimized for AI app creation. Start building AI apps for free : ) More updates and features to come!
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Introducing the new AI first vibe coding experience in Google AI Studio! Built to take you from prompt to production with Gemini, and optimized for AI app creation. Start building AI apps for free : ) More updates and features to come!

Logan Kilpatrick

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GPT-5.5 is here. It’s our smartest frontier model yet, introducing a new class of intelligence for agentic coding, computer use, knowledge work, and scientific research. Rolling out in ChatGPT and Codex today. API is coming soon.
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GPT-5.5 is here. It’s our smartest frontier model yet, introducing a new class of intelligence for agentic coding, computer use, knowledge work, and scientific research. Rolling out in ChatGPT and Codex today. API is coming soon.

OpenAI Developers

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Start building real apps for the modern web with the Google Antigravity coding agent and Firebase integration, now in Google AI Studio. Develop a real-time, 3D multiplayer snake arena built with Three.js and collect orbs to dominate the neon grid 🐍
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Start building real apps for the modern web with the Google Antigravity coding agent and Firebase integration, now in Google AI Studio. Develop a real-time, 3D multiplayer snake arena built with Three.js and collect orbs to dominate the neon grid 🐍

Google AI Developers

33,117 просмотров • 3 месяцев назад

Introducing Arena Mode in Windsurf: One prompt. Two models. Your vote. Benchmarks don't reflect real-world coding quality. The best model for you depends on your codebase and stack. So we made real-world coding the benchmark. Free for the next week. May the best model win.
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Introducing Arena Mode in Windsurf: One prompt. Two models. Your vote. Benchmarks don't reflect real-world coding quality. The best model for you depends on your codebase and stack. So we made real-world coding the benchmark. Free for the next week. May the best model win.

Devin Desktop

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Introducing NVIDIA Nemotron 3 Ultra. A frontier smart open model built for long-running agents that need to plan, reason, use tools and keep working across complex coding, research and enterprise workflows. Up to 5x faster inference and up to 30% lower cost for agentic tasks. Learn more:
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Introducing NVIDIA Nemotron 3 Ultra. A frontier smart open model built for long-running agents that need to plan, reason, use tools and keep working across complex coding, research and enterprise workflows. Up to 5x faster inference and up to 30% lower cost for agentic tasks. Learn more:

NVIDIA

226,252 просмотров • 18 дней назад

Neel built Builddy to go from a text prompt to a deployed web app in one go using GLM-5.1. The system coordinates 6 different agents to handle everything from system design to final deployment, all running on GLM-5.1's coding logic.
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Neel built Builddy to go from a text prompt to a deployed web app in one go using GLM-5.1. The system coordinates 6 different agents to handle everything from system design to final deployment, all running on GLM-5.1's coding logic.

Z.ai

38,964 просмотров • 2 месяцев назад

Grok 4.3 Beta is insanely good and now comes with powerful new tools that are super helpful for everyday use: • Create clean slides, graphs, images and dashboards • Pull real-time data and images directly from the web • Run smooth multi-step workflows • Analyze videos Grok is being built for real-world use - better tools, richer context, and real day-to-day signals make this a big step toward Grok becoming part of everyday life You can now research, visualize, and package your ideas end-to-end..... from concept to finished presentation or dashboard all in one place And the Grok Computer is coming very soon 🔥
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Grok 4.3 Beta is insanely good and now comes with powerful new tools that are super helpful for everyday use: • Create clean slides, graphs, images and dashboards • Pull real-time data and images directly from the web • Run smooth multi-step workflows • Analyze videos Grok is being built for real-world use - better tools, richer context, and real day-to-day signals make this a big step toward Grok becoming part of everyday life You can now research, visualize, and package your ideas end-to-end..... from concept to finished presentation or dashboard all in one place And the Grok Computer is coming very soon 🔥

X Freeze

570,742 просмотров • 2 месяцев назад

Reinforcement learning research often depends on static benchmarks and obscure leaderboards. But real evaluation happens inside environments, with specific tools, prompts, constraints, and workflows. Today, we’re launching the Turing RL Environments Evaluation Platform. Researchers now have direct, real time access to: -The exact production RL environments used in evaluation -Full tool inventories and prompt transparency -Explicit QA rubrics and scoring criteria -Live, harness-integrated leaderboards -Interactive demos of agent workflows No abstractions. No summarized results. Just the system itself. Explore the platform below.
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Reinforcement learning research often depends on static benchmarks and obscure leaderboards. But real evaluation happens inside environments, with specific tools, prompts, constraints, and workflows. Today, we’re launching the Turing RL Environments Evaluation Platform. Researchers now have direct, real time access to: -The exact production RL environments used in evaluation -Full tool inventories and prompt transparency -Explicit QA rubrics and scoring criteria -Live, harness-integrated leaderboards -Interactive demos of agent workflows No abstractions. No summarized results. Just the system itself. Explore the platform below.

Turing

69,706 просмотров • 2 месяцев назад

🚨 Kimi 2.6 just dethroned Claude for coding — and we built 6 full projects in one morning to prove it. 3D worlds. Space shooters. Live data dashboards. All from single prompts. Claude who? Kimi.ai 👀 Watch the full breakdown 👇
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🚨 Kimi 2.6 just dethroned Claude for coding — and we built 6 full projects in one morning to prove it. 3D worlds. Space shooters. Live data dashboards. All from single prompts. Claude who? Kimi.ai 👀 Watch the full breakdown 👇

Boxmining

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Coded with Grok 4 from xAI , built this Three.js demo using a 3D model from its examples. Imagine building on it for fun school learning or an immersive game/web experience. Grok 4's coding abilities open up creative possibilities for everyone.
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Coded with Grok 4 from xAI , built this Three.js demo using a 3D model from its examples. Imagine building on it for fun school learning or an immersive game/web experience. Grok 4's coding abilities open up creative possibilities for everyone.

Techartist

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First look at Grok Build by xAI, this time as a CLI tool running directly in the terminal. This is clearly positioned as a competitor to Claude Code, bringing agentic coding workflows into the command line with xAI’s own model stack behind it.
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First look at Grok Build by xAI, this time as a CLI tool running directly in the terminal. This is clearly positioned as a competitor to Claude Code, bringing agentic coding workflows into the command line with xAI’s own model stack behind it.

Mark Kretschmann

36,296 просмотров • 1 месяц назад